Searched for: contributor:"Mazo, M. (mentor)"
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Lanka, Indeevar Shyam (author)
Vehicles are becoming increasingly complex and the resource-demanding due to the developments aimed at driving autonomy. Viewing an automobile as a cyber-physical system (CPS), this work applies the advances of controls applied to CPS for improving resource-consumption. One such idea is that of event-based control. Theoretical developments in...
master thesis 2021
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Klein Schiphorst, Jonathan (author)
Stability, safety and optimality are often sought-after properties in the field of controller synthesis. In the last century, linear control theory has matured to a level where scalable algorithms are widely available that are able to synthesize controllers with stability and optimality guarantee. However, the synthesis of safe controllers...
master thesis 2021
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Zwart, Joost (author)
System identification for switched linear systems from input output data has received substantial attention in recent years. There is a growing interest for techniques that pose the identification problem as a sparse optimisation problem. At the same time a vast amount of research is dedicated to improving SAT solvers which as a result become...
master thesis 2019
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van Lookeren Campagne, Gijs (author)
In recent years, research in the field of autonomous driving has been subject to a significant increase in interest. Along with the advances in automation and electrification, cars are slowly transitioning to computers on wheels. The ever-increasing processing power in vehicles gives rise to the implementation of advanced control strategies. The...
master thesis 2019
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Durieux, Bram (author)
The extraordinary capability of swarming ant species in route finding and foraging efficiency through trail trail development has been studied for many years. Scientists have been able to capture the behavior of individual ants in control algorithms and used the resulting artificial swarm of ants to solve difficult problems. These problems...
master thesis 2019
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Bosma, Stijn (author)
A repetitive motion system supporting nano meter precision is positioned at high accelerations, which produces a force that disturbs the demanded accuracy requirements. Iterative learning control is used to learn optimal feedforward control signals for the attenuation this disturbance force. The iterative method comes with a limitation, as it...
master thesis 2019
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de Vries, Maarten (author)
Pose estimation through fusion of GNSS with secondary sensors has long been an established field. With the developments surrounding autonomous navigation over the past decade this topic has gained extra importance. In the current literature GNSS based pose and localisation is often improved through fusion with either a IMU}or VS with the goal of...
master thesis 2019
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Aarnts, Thomas (author)
The rise of vehicle usage causes roads to reach capacity limits. When capacity is reached, traffic jams and accidents are more likely to occur. By raising the efficiency of traffic, the capacity of roads can benefit without the need to expand infrastructure. Automating longitudinal controls of vehicles and creating vehicle platoons show...
master thesis 2019
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Angga Irawan, Angga (author)
Controller synthesis techniques based on symbolic models or discrete abstractions are becoming increasingly attractive as they allow for synthesizing correct-by-design controllers of general nonlinear systems under complex behavioral requirements. However, its immense size as the consequence of the state-space explosion prohibits the approach to...
master thesis 2018
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Hashish, Ahmed (author)
This thesis covers the implementation of Event-Triggering Control (ETC) on Cooperative Adaptive Cruise Control (CACC). CACC has the potential to increase road capacity, by having safe vehicle following with small intervehicle distance (less than 1 second), to increase traffic flow by eliminating shockwave effects, such that string-stable...
master thesis 2018
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Capelle, lotte (author)
This thesis describes three different predictive frameworks which are applied to improve the interaction behavior between a robot and their users. Machine learning is used to train the frameworks. The training data contains information obtained from one user over a period of approximately 3 to 30 days. This work is applied to the LEA robot: an...
master thesis 2018
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van der Arend, Marco (author)
One of the phases of the installation of Offshore Wind Turbines is the installation of the foundation for the turbine. Herein, a monopile is one of the most frequently used foundation-types. This monopile is a high steel cylinder, over 60 meters high, which supports the wind turbine to the seabed. Currently, monopiles are lifted with large boom...
master thesis 2017
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Paul, S. (author)
Over the last decade there has been a shift in focus from traditional sampled-data control to event-triggered control (ETC) as it promises to be better suited for systems with shared communication media, especially wireless systems. The mote lifetime in case of wireless sensor actuator networks (WSAN) is crucial and can be improved by utilizing...
master thesis 2016
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Krom, B.N. (author)
Wireless sensor networks of the type discussed in this MSc project play a crucial role in many envisionings of the Internet of Things, a trend that is thought to play a major role in the technological innovations of the near future. These wireless, ad-hoc, scalable mesh networks provide the infrastructure for numerous sensing and control...
master thesis 2015
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Van Roekel, B.J.M. (author)
Annually over 60.000 people die and another 3.7 million get injured in car accidents in the United States and Europe combined. Automation of vehicles can reduce the number of accidents by 90%. Therefore, it is of great interest in academia and industry. For the automated vehicles that are being presented in industry however, proofs of safe...
master thesis 2015
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Li, Q. (author)
master thesis 2014
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Kaustubh, M. (author)
Advanced Driver Assistance Systems (ADAS) are primarily radar and camera-based technologies that capture the vehicle’s surrounding environment and assist the driver by keeping him informed about current vehicle state, and if necessary intervene to prevent an impending danger, while the driver is in control of the vehicle at all times. These...
master thesis 2014
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Li, Z. (author)
As a component of Dutch Automatic Vehicle Initiative (DAVI) project, this study aims at improving highway driving safety of autonomous vehicle. It is observed that some misbehaved drivers do not use turn indicators forehead a lane change on highway. For a self-driving car in such situations, a lane change is potentially dangerous without an...
master thesis 2014
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Zhang, Y. (author)
master thesis 2014
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Dahlan, B. (author)
This thesis presents a method to semi-automate the reasoning about network bounds, namely the backlog and delay. Network Calculus offers a rich theory for modeling network elements. Using the modeling techniques of network calculus, network elements are represented by discrete-time systems whose dynamics are linear in min-plus algebra. From the...
master thesis 2013
Searched for: contributor:"Mazo, M. (mentor)"
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